Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	50
Missing cells	29
Missing cells (%)	2.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	11.5 KiB
Average record size in memory	234.6 B

Variable types

Numeric	9
Categorical	20

Alerts

`airdate` has constant value "2020-12-27"	Constant
`_embedded_show_dvdCountry` has constant value "nan"	Constant
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number` and 2 other fields	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `season` and 2 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 2 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_webChannel` and 13 other fields	High correlation
`_embedded_show_webChannel` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`summary` is highly correlated with `url` and 3 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_webChannel` and 9 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_summary` and 9 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`name` is highly correlated with `_embedded_show_officialSite` and 5 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_webChannel` and 5 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_webChannel` and 5 other fields	High correlation
`id` is highly correlated with `url` and 19 other fields	High correlation
`url` is highly correlated with `id` and 25 other fields	High correlation
`name` is highly correlated with `id` and 22 other fields	High correlation
`season` is highly correlated with `id` and 14 other fields	High correlation
`number` is highly correlated with `id` and 15 other fields	High correlation
`type` is highly correlated with `id` and 10 other fields	High correlation
`airtime` is highly correlated with `url` and 13 other fields	High correlation
`airstamp` is highly correlated with `id` and 21 other fields	High correlation
`runtime` is highly correlated with `id` and 19 other fields	High correlation
`summary` is highly correlated with `url` and 4 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_language` is highly correlated with `url` and 19 other fields	High correlation
`_embedded_show_genres` is highly correlated with `url` and 20 other fields	High correlation
`_embedded_show_status` is highly correlated with `url` and 16 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_ended` is highly correlated with `url` and 13 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_webChannel` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 18 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 25 other fields	High correlation
`number` has 2 (4.0%) missing values	Missing
`runtime` has 3 (6.0%) missing values	Missing
`_embedded_show_runtime` has 18 (36.0%) missing values	Missing
`_embedded_show_averageRuntime` has 3 (6.0%) missing values	Missing
`_embedded_show_webChannel` has 3 (6.0%) missing values	Missing
`url` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:21:58.441066
Analysis finished	2022-05-10 02:22:17.571336
Duration	19.13 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2031250.82

Minimum	1953071
Maximum	2318113
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1953071
5-th percentile	1972197.65
Q1	1988853.5
median	1993651.5
Q3	2014606
95-th percentile	2246403.25
Maximum	2318113
Range	365042
Interquartile range (IQR)	25752.5

Descriptive statistics

Standard deviation	89063.92661
Coefficient of variation (CV)	0.04384683848
Kurtosis	2.722213579
Mean	2031250.82
Median Absolute Deviation (MAD)	9812
Skewness	1.95324965
Sum	101562541
Variance	7932383023
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1993496	1	2.0%
2034360	1	2.0%
1993651	1	2.0%
1993652	1	2.0%
1993653	1	2.0%
1993654	1	2.0%
1994710	1	2.0%
1995491	1	2.0%
1997532	1	2.0%
1997533	1	2.0%
Other values (40)	40	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1953071	1	2.0%
1956341	1	2.0%
1970678	1	2.0%
1974055	1	2.0%
1974056	1	2.0%
1975189	1	2.0%
1975190	1	2.0%
1975747	1	2.0%
1978014	1	2.0%
1981602	1	2.0%

Value	Count	Frequency (%)
2318113	1	2.0%
2267318	1	2.0%
2255986	1	2.0%
2234691	1	2.0%
2204451	1	2.0%
2176144	1	2.0%
2165932	1	2.0%
2126228	1	2.0%
2111761	1	2.0%
2052512	1	2.0%

url
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

https://www.tvmaze.com/episodes/1993496/troe-iz-prostokvasino-2x41-bobrovyj-meh	1
https://www.tvmaze.com/episodes/2034360/lulu-1x01-episode-1	1
https://www.tvmaze.com/episodes/1993651/outlier-1x05-episode-5	1
https://www.tvmaze.com/episodes/1993652/outlier-1x06-episode-6	1
https://www.tvmaze.com/episodes/1993653/outlier-1x07-episode-7	1
Other values (45)	45

Length

Max length	139
Median length	102
Mean length	77.8
Min length	59

Characters and Unicode

Total characters	3890
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1993496/troe-iz-prostokvasino-2x41-bobrovyj-meh
2nd row	https://www.tvmaze.com/episodes/1993442/top-10-po-versii-seasonvarru-2x12-top-10-samyh-ozidaemyh-novinok-v-mire-serialov
3rd row	https://www.tvmaze.com/episodes/1956341/hero-return-1x12-episode-12
4th row	https://www.tvmaze.com/episodes/1988864/swallowed-star-1x06-episode-6
5th row	https://www.tvmaze.com/episodes/2052512/wu-shen-zhu-zai-1x87-episode-87

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1993496/troe-iz-prostokvasino-2x41-bobrovyj-meh	1	2.0%
https://www.tvmaze.com/episodes/2034360/lulu-1x01-episode-1	1	2.0%
https://www.tvmaze.com/episodes/1993651/outlier-1x05-episode-5	1	2.0%
https://www.tvmaze.com/episodes/1993652/outlier-1x06-episode-6	1	2.0%
https://www.tvmaze.com/episodes/1993653/outlier-1x07-episode-7	1	2.0%
https://www.tvmaze.com/episodes/1993654/outlier-1x08-episode-8	1	2.0%
https://www.tvmaze.com/episodes/1994710/the-controllers-1x05-episode-5	1	2.0%
https://www.tvmaze.com/episodes/1995491/the-controllers-1x06-episode-6	1	2.0%
https://www.tvmaze.com/episodes/1997532/the-penalty-zone-1x25-episode-25	1	2.0%
https://www.tvmaze.com/episodes/1997533/the-penalty-zone-1x26-episode-26	1	2.0%
Other values (40)	40	80.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1993496/troe-iz-prostokvasino-2x41-bobrovyj-meh	1	2.0%
https://www.tvmaze.com/episodes/1978014/30-monedas-1x05-el-doble	1	2.0%
https://www.tvmaze.com/episodes/1993647/outlier-1x01-episode-1	1	2.0%
https://www.tvmaze.com/episodes/1956341/hero-return-1x12-episode-12	1	2.0%
https://www.tvmaze.com/episodes/1988864/swallowed-star-1x06-episode-6	1	2.0%
https://www.tvmaze.com/episodes/2052512/wu-shen-zhu-zai-1x87-episode-87	1	2.0%
https://www.tvmaze.com/episodes/2012323/mans-diary-2x08-episode-8	1	2.0%
https://www.tvmaze.com/episodes/2005757/legend-of-yun-qian-1x10-episode-10	1	2.0%
https://www.tvmaze.com/episodes/1974055/love-revolution-1x29-episode-29	1	2.0%
https://www.tvmaze.com/episodes/1974056/love-revolution-1x30-episode-30	1	2.0%
Other values (40)	40	80.0%

Most occurring characters

Value	Count	Frequency (%)
e	333	8.6%
-	280	7.2%
s	254	6.5%
/	250	6.4%
t	232	6.0%
o	220	5.7%
i	163	4.2%
w	161	4.1%
p	155	4.0%
a	154	4.0%
Other values (30)	1688	43.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2636	67.8%
Decimal Number	574	14.8%
Other Punctuation	400	10.3%
Dash Punctuation	280	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	333	12.6%
s	254	9.6%
t	232	8.8%
o	220	8.3%
i	163	6.2%
w	161	6.1%
p	155	5.9%
a	154	5.8%
m	126	4.8%
d	109	4.1%
Other values (16)	729	27.7%

Decimal Number

Value	Count	Frequency (%)
1	123	21.4%
2	76	13.2%
9	68	11.8%
0	68	11.8%
5	49	8.5%
6	46	8.0%
3	45	7.8%
7	37	6.4%
8	31	5.4%
4	31	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	250	62.5%
.	100	25.0%
:	50	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	280	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2636	67.8%
Common	1254	32.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	333	12.6%
s	254	9.6%
t	232	8.8%
o	220	8.3%
i	163	6.2%
w	161	6.1%
p	155	5.9%
a	154	5.8%
m	126	4.8%
d	109	4.1%
Other values (16)	729	27.7%

Common

Value	Count	Frequency (%)
-	280	22.3%
/	250	19.9%
1	123	9.8%
.	100	8.0%
2	76	6.1%
9	68	5.4%
0	68	5.4%
:	50	4.0%
5	49	3.9%
6	46	3.7%
Other values (4)	144	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3890	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	333	8.6%
-	280	7.2%
s	254	6.5%
/	250	6.4%
t	232	6.0%
o	220	5.7%
i	163	4.2%
w	161	4.1%
p	155	4.0%
a	154	4.0%
Other values (30)	1688	43.4%

name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	39
Distinct (%)	78.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

Episode 5	4
Episode 6	4
Episode 1	4
Episode 8	2
Episode 3	2
Other values (34)	34

Length

Max length	82
Median length	61
Mean length	18.52
Min length	6

Characters and Unicode

Total characters	926
Distinct characters	106
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	34 ?
Unique (%)	68.0%

Sample

1st row	Бобровый мех
2nd row	ТОП-10 самых ожидаемых новинок в мире сериалов
3rd row	Episode 12
4th row	Episode 6
5th row	Episode 87

Common Values

Value	Count	Frequency (%)
Episode 5	4	8.0%
Episode 6	4	8.0%
Episode 1	4	8.0%
Episode 8	2	4.0%
Episode 3	2	4.0%
Бобровый мех	1	2.0%
Постдеконструкция с Владимиром Сурдиным. Фильм "Интерстеллар"	1	2.0%
Episode 4	1	2.0%
Episode 7	1	2.0%
Episode 25	1	2.0%
Other values (29)	29	58.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	27	16.6%
6	6	3.7%
5	4	2.5%
1	4	2.5%
the	3	1.8%
of	2	1.2%
7	2	1.2%
de	2	1.2%
3	2	1.2%
8	2	1.2%
Other values (109)	109	66.9%

Most occurring characters

Value	Count	Frequency (%)
	113	12.2%
e	62	6.7%
s	51	5.5%
i	50	5.4%
o	42	4.5%
d	39	4.2%
a	33	3.6%
E	32	3.5%
p	29	3.1%
n	22	2.4%
Other values (96)	453	48.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	631	68.1%
Space Separator	113	12.2%
Uppercase Letter	103	11.1%
Decimal Number	55	5.9%
Other Punctuation	22	2.4%
Dash Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	62	9.8%
s	51	8.1%
i	50	7.9%
o	42	6.7%
d	39	6.2%
a	33	5.2%
p	29	4.6%
n	22	3.5%
о	21	3.3%
r	19	3.0%
Other values (42)	263	41.7%

Uppercase Letter

Value	Count	Frequency (%)
E	32	31.1%
T	8	7.8%
N	5	4.9%
C	5	4.9%
O	5	4.9%
R	4	3.9%
A	3	2.9%
M	3	2.9%
G	3	2.9%
U	2	1.9%
Other values (24)	33	32.0%

Decimal Number

Value	Count	Frequency (%)
2	12	21.8%
6	8	14.5%
1	8	14.5%
0	7	12.7%
5	6	10.9%
7	5	9.1%
3	4	7.3%
8	3	5.5%
4	1	1.8%
9	1	1.8%

Other Punctuation

Value	Count	Frequency (%)
"	6	27.3%
,	5	22.7%
'	3	13.6%
:	2	9.1%
/	2	9.1%
.	2	9.1%
!	1	4.5%
#	1	4.5%

Space Separator

Value	Count	Frequency (%)
	113	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	522	56.4%
Cyrillic	212	22.9%
Common	192	20.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	62	11.9%
s	51	9.8%
i	50	9.6%
o	42	8.0%
d	39	7.5%
a	33	6.3%
E	32	6.1%
p	29	5.6%
n	22	4.2%
r	19	3.6%
Other values (39)	143	27.4%

Cyrillic

Value	Count	Frequency (%)
о	21	9.9%
е	17	8.0%
а	16	7.5%
р	15	7.1%
и	13	6.1%
с	11	5.2%
н	11	5.2%
в	10	4.7%
м	10	4.7%
т	10	4.7%
Other values (27)	78	36.8%

Common

Value	Count	Frequency (%)
	113	58.9%
2	12	6.2%
6	8	4.2%
1	8	4.2%
0	7	3.6%
"	6	3.1%
5	6	3.1%
,	5	2.6%
7	5	2.6%
3	4	2.1%
Other values (10)	18	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	711	76.8%
Cyrillic	212	22.9%
None	3	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	113	15.9%
e	62	8.7%
s	51	7.2%
i	50	7.0%
o	42	5.9%
d	39	5.5%
a	33	4.6%
E	32	4.5%
p	29	4.1%
n	22	3.1%
Other values (56)	238	33.5%

Cyrillic

Value	Count	Frequency (%)
о	21	9.9%
е	17	8.0%
а	16	7.5%
р	15	7.1%
и	13	6.1%
с	11	5.2%
н	11	5.2%
в	10	4.7%
м	10	4.7%
т	10	4.7%
Other values (27)	78	36.8%

None

Value	Count	Frequency (%)
ă	1	33.3%
é	1	33.3%
ä	1	33.3%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	123.48

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	1132.6
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	484.0576471
Coefficient of variation (CV)	3.920129957
Kurtosis	13.11824218
Mean	123.48
Median Absolute Deviation (MAD)	0
Skewness	3.819857605
Sum	6174
Variance	234311.8057
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	34	68.0%
2	9	18.0%
2020	3	6.0%
6	1	2.0%
5	1	2.0%
3	1	2.0%
48	1	2.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	34	68.0%
2	9	18.0%
3	1	2.0%
5	1	2.0%
6	1	2.0%
48	1	2.0%
2020	3	6.0%

Value	Count	Frequency (%)
2020	3	6.0%
48	1	2.0%
6	1	2.0%
5	1	2.0%
3	1	2.0%
2	9	18.0%
1	34	68.0%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	52.1%
Missing	2
Missing (%)	4.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.97916667

Minimum	1
Maximum	354
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	7
Q3	25.25
95-th percentile	55.25
Maximum	354
Range	353
Interquartile range (IQR)	20.25

Descriptive statistics

Standard deviation	52.23575428
Coefficient of variation (CV)	2.27317879
Kurtosis	35.86242737
Mean	22.97916667
Median Absolute Deviation (MAD)	4
Skewness	5.680323477
Sum	1103
Variance	2728.574025
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
6	8	16.0%
5	6	12.0%
1	5	10.0%
8	3	6.0%
11	2	4.0%
12	2	4.0%
3	2	4.0%
7	2	4.0%
52	2	4.0%
4	1	2.0%
Other values (15)	15	30.0%
(Missing)	2	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	10.0%
2	1	2.0%
3	2	4.0%
4	1	2.0%
5	6	12.0%
6	8	16.0%
7	2	4.0%
8	3	6.0%
10	1	2.0%
11	2	4.0%

Value	Count	Frequency (%)
354	1	2.0%
87	1	2.0%
57	1	2.0%
52	2	4.0%
49	1	2.0%
41	1	2.0%
38	1	2.0%
37	1	2.0%
30	1	2.0%
29	1	2.0%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

regular	48
insignificant_special	1
significant_special	1

Length

Max length	21
Median length	7
Mean length	7.52
Min length	7

Characters and Unicode

Total characters	376
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	48	96.0%
insignificant_special	1	2.0%
significant_special	1	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	48	96.0%
insignificant_special	1	2.0%
significant_special	1	2.0%

Most occurring characters

Value	Count	Frequency (%)
r	96	25.5%
a	52	13.8%
e	50	13.3%
g	50	13.3%
l	50	13.3%
u	48	12.8%
i	9	2.4%
n	5	1.3%
s	4	1.1%
c	4	1.1%
Other values (4)	8	2.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	374	99.5%
Connector Punctuation	2	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	96	25.7%
a	52	13.9%
e	50	13.4%
g	50	13.4%
l	50	13.4%
u	48	12.8%
i	9	2.4%
n	5	1.3%
s	4	1.1%
c	4	1.1%
Other values (3)	6	1.6%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	374	99.5%
Common	2	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	96	25.7%
a	52	13.9%
e	50	13.4%
g	50	13.4%
l	50	13.4%
u	48	12.8%
i	9	2.4%
n	5	1.3%
s	4	1.1%
c	4	1.1%
Other values (3)	6	1.6%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	376	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	96	25.5%
a	52	13.8%
e	50	13.3%
g	50	13.3%
l	50	13.3%
u	48	12.8%
i	9	2.4%
n	5	1.3%
s	4	1.1%
c	4	1.1%
Other values (4)	8	2.1%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

2020-12-27	50

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	500
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-27
2nd row	2020-12-27
3rd row	2020-12-27
4th row	2020-12-27
5th row	2020-12-27

Common Values

Value	Count	Frequency (%)
2020-12-27	50	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-27	50	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	200	40.0%
0	100	20.0%
-	100	20.0%
1	50	10.0%
7	50	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	400	80.0%
Dash Punctuation	100	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	200	50.0%
0	100	25.0%
1	50	12.5%
7	50	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	200	40.0%
0	100	20.0%
-	100	20.0%
1	50	10.0%
7	50	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	200	40.0%
0	100	20.0%
-	100	20.0%
1	50	10.0%
7	50	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

nan	37
20:00	5
10:00	3
17:00	2
18:00	1
Other values (2)	2

Length

Max length	5
Median length	3
Mean length	3.52
Min length	3

Characters and Unicode

Total characters	176
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	6.0%

Sample

1st row	nan
2nd row	nan
3rd row	10:00
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
nan	37	74.0%
20:00	5	10.0%
10:00	3	6.0%
17:00	2	4.0%
18:00	1	2.0%
12:00	1	2.0%
12:15	1	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	37	74.0%
20:00	5	10.0%
10:00	3	6.0%
17:00	2	4.0%
18:00	1	2.0%
12:00	1	2.0%
12:15	1	2.0%

Most occurring characters

Value	Count	Frequency (%)
n	74	42.0%
a	37	21.0%
0	32	18.2%
:	13	7.4%
1	9	5.1%
2	7	4.0%
7	2	1.1%
8	1	0.6%
5	1	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	111	63.1%
Decimal Number	52	29.5%
Other Punctuation	13	7.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32	61.5%
1	9	17.3%
2	7	13.5%
7	2	3.8%
8	1	1.9%
5	1	1.9%

Lowercase Letter

Value	Count	Frequency (%)
n	74	66.7%
a	37	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	13	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	111	63.1%
Common	65	36.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32	49.2%
:	13	20.0%
1	9	13.8%
2	7	10.8%
7	2	3.1%
8	1	1.5%
5	1	1.5%

Latin

Value	Count	Frequency (%)
n	74	66.7%
a	37	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	74	42.0%
a	37	21.0%
0	32	18.2%
:	13	7.4%
1	9	5.1%
2	7	4.0%
7	2	1.1%
8	1	0.6%
5	1	0.6%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	22.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

2020-12-27T12:00:00+00:00	27
2020-12-27T11:00:00+00:00	5
2020-12-27T17:00:00+00:00	5
2020-12-27T02:00:00+00:00	3
2020-12-27T00:00:00+00:00	2
Other values (6)	8

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	1250
Distinct characters	12
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	8.0%

Sample

1st row	2020-12-27T00:00:00+00:00
2nd row	2020-12-27T00:00:00+00:00
3rd row	2020-12-27T02:00:00+00:00
4th row	2020-12-27T02:00:00+00:00
5th row	2020-12-27T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-27T12:00:00+00:00	27	54.0%
2020-12-27T11:00:00+00:00	5	10.0%
2020-12-27T17:00:00+00:00	5	10.0%
2020-12-27T02:00:00+00:00	3	6.0%
2020-12-27T00:00:00+00:00	2	4.0%
2020-12-27T04:00:00+00:00	2	4.0%
2020-12-27T08:00:00+00:00	2	4.0%
2020-12-27T09:00:00+00:00	1	2.0%
2020-12-27T14:00:00+00:00	1	2.0%
2020-12-27T17:15:00+00:00	1	2.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-27t12:00:00+00:00	27	54.0%
2020-12-27t11:00:00+00:00	5	10.0%
2020-12-27t17:00:00+00:00	5	10.0%
2020-12-27t02:00:00+00:00	3	6.0%
2020-12-27t00:00:00+00:00	2	4.0%
2020-12-27t04:00:00+00:00	2	4.0%
2020-12-27t08:00:00+00:00	2	4.0%
2020-12-27t09:00:00+00:00	1	2.0%
2020-12-27t14:00:00+00:00	1	2.0%
2020-12-27t17:15:00+00:00	1	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	511	40.9%
2	230	18.4%
:	150	12.0%
-	100	8.0%
1	96	7.7%
7	55	4.4%
T	50	4.0%
+	50	4.0%
4	3	0.2%
8	3	0.2%
Other values (2)	2	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	900	72.0%
Other Punctuation	150	12.0%
Dash Punctuation	100	8.0%
Uppercase Letter	50	4.0%
Math Symbol	50	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	511	56.8%
2	230	25.6%
1	96	10.7%
7	55	6.1%
4	3	0.3%
8	3	0.3%
9	1	0.1%
5	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	150	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	50	100.0%

Math Symbol

Value	Count	Frequency (%)
+	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1200	96.0%
Latin	50	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	511	42.6%
2	230	19.2%
:	150	12.5%
-	100	8.3%
1	96	8.0%
7	55	4.6%
+	50	4.2%
4	3	0.2%
8	3	0.2%
9	1	0.1%

Latin

Value	Count	Frequency (%)
T	50	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1250	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	511	40.9%
2	230	18.4%
:	150	12.0%
-	100	8.0%
1	96	7.7%
7	55	4.4%
T	50	4.0%
+	50	4.0%
4	3	0.2%
8	3	0.2%
Other values (2)	2	0.2%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	51.1%
Missing	3
Missing (%)	6.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.57446809

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	4
5-th percentile	8.9
Q1	20
median	42
Q3	45
95-th percentile	62.8
Maximum	120
Range	116
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	23.37012649
Coefficient of variation (CV)	0.63897379
Kurtosis	5.344035273
Mean	36.57446809
Median Absolute Deviation (MAD)	12
Skewness	1.819461013
Sum	1719
Variance	546.1628122
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
45	9	18.0%
42	4	8.0%
15	3	6.0%
20	3	6.0%
43	3	6.0%
120	2	4.0%
30	2	4.0%
12	2	4.0%
44	2	4.0%
25	2	4.0%
Other values (14)	15	30.0%
(Missing)	3	6.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	2.0%
7	1	2.0%
8	1	2.0%
11	1	2.0%
12	2	4.0%
15	3	6.0%
19	1	2.0%
20	3	6.0%
21	1	2.0%
22	2	4.0%

Value	Count	Frequency (%)
120	2	4.0%
64	1	2.0%
60	1	2.0%
59	1	2.0%
50	1	2.0%
45	9	18.0%
44	2	4.0%
43	3	6.0%
42	4	8.0%
40	1	2.0%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	32.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

nan	35
<p>After mysteriously disappearing two years ago, Elena's husband miraculously returns. In Rome, Santoro tries to recruit Vergara, offering him unimaginable power…</p>	1
<p>A teenage girl, Sofie, disappears on her way home from a party in Kautokeino. A friend reports her missing to the police, but the case is not taken seriously. Not until Sofie is found murdered in a village a few hours away.</p>	1
<p>Maja defies all warnings and begins to investigate on her own accord. And she grows increasingly confident in her theory - the police are wrong.</p>	1
<p>Maja's theory of a possible serial killer is finally heard by the police, who permit her to join the investigation despite their doubts. She begins to dig into old cases in the archives, searching for a pattern.</p><p> </p>	1
Other values (11)	11

Length

Max length	234
Median length	3
Mean length	53.56
Min length	3

Characters and Unicode

Total characters	2678
Distinct characters	62
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	30.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	35	70.0%
<p>After mysteriously disappearing two years ago, Elena's husband miraculously returns. In Rome, Santoro tries to recruit Vergara, offering him unimaginable power…</p>	1	2.0%
<p>A teenage girl, Sofie, disappears on her way home from a party in Kautokeino. A friend reports her missing to the police, but the case is not taken seriously. Not until Sofie is found murdered in a village a few hours away.</p>	1	2.0%
<p>Maja defies all warnings and begins to investigate on her own accord. And she grows increasingly confident in her theory - the police are wrong.</p>	1	2.0%
<p>Maja's theory of a possible serial killer is finally heard by the police, who permit her to join the investigation despite their doubts. She begins to dig into old cases in the archives, searching for a pattern.</p><p> </p>	1	2.0%
<p>Maja and the other investigators are looking for connections between several murders and missing person cases. They discover that the pattern much more extensive than first thought.</p><p> </p>	1	2.0%
<p>Maja is reduced to the sidelines and is close to giving up. But information about Maja's own family sheds new light on the murder. Could the killer have been a part of Maja's inner circle</p><p> </p>	1	2.0%
<p>Maja's confrontation with her father has major consequences. The day after their feud, he is found dead at home having taken his own life. The shock of the loss of her father sends Maja even closer to the tipping point.</p><p> </p>	1	2.0%
<p>Despite all the warnings about dragging her private trauma into the case, Maja decides to try one last time to talk to her demented mother.</p><p> </p>	1	2.0%
<p>After going down what turns out to be a blind alley, the suspicion falls on a man who was close to Maja's family in his youth. The police strike, but he escapes and disappears.</p><p> </p>	1	2.0%
Other values (6)	6	12.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	35	7.5%
the	26	5.6%
to	17	3.7%
a	14	3.0%
and	9	1.9%
her	9	1.9%
on	8	1.7%
in	8	1.7%
is	8	1.7%
p	7	1.5%
Other values (252)	323	69.6%

Most occurring characters

Value	Count	Frequency (%)
	407	15.2%
e	240	9.0%
n	206	7.7%
a	197	7.4%
t	152	5.7%
i	145	5.4%
o	138	5.2%
r	128	4.8%
s	126	4.7%
h	102	3.8%
Other values (52)	837	31.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2031	75.8%
Space Separator	414	15.5%
Math Symbol	84	3.1%
Other Punctuation	81	3.0%
Uppercase Letter	61	2.3%
Decimal Number	5	0.2%
Dash Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	240	11.8%
n	206	10.1%
a	197	9.7%
t	152	7.5%
i	145	7.1%
o	138	6.8%
r	128	6.3%
s	126	6.2%
h	102	5.0%
p	86	4.2%
Other values (15)	511	25.2%

Uppercase Letter

Value	Count	Frequency (%)
M	12	19.7%
T	8	13.1%
A	5	8.2%
S	5	8.2%
Y	4	6.6%
W	4	6.6%
N	4	6.6%
I	3	4.9%
E	2	3.3%
R	2	3.3%
Other values (9)	12	19.7%

Other Punctuation

Value	Count	Frequency (%)
.	27	33.3%
/	21	25.9%
,	18	22.2%
'	9	11.1%
"	2	2.5%
:	2	2.5%
…	1	1.2%
?	1	1.2%

Decimal Number

Value	Count	Frequency (%)
7	1	20.0%
6	1	20.0%
8	1	20.0%
9	1	20.0%
1	1	20.0%

Space Separator

Value	Count	Frequency (%)
	407	98.3%
	7	1.7%

Math Symbol

Value	Count	Frequency (%)
>	42	50.0%
<	42	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2092	78.1%
Common	586	21.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	240	11.5%
n	206	9.8%
a	197	9.4%
t	152	7.3%
i	145	6.9%
o	138	6.6%
r	128	6.1%
s	126	6.0%
h	102	4.9%
p	86	4.1%
Other values (34)	572	27.3%

Common

Value	Count	Frequency (%)
	407	69.5%
>	42	7.2%
<	42	7.2%
.	27	4.6%
/	21	3.6%
,	18	3.1%
'	9	1.5%
	7	1.2%
"	2	0.3%
-	2	0.3%
Other values (8)	9	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2670	99.7%
None	7	0.3%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	407	15.2%
e	240	9.0%
n	206	7.7%
a	197	7.4%
t	152	5.7%
i	145	5.4%
o	138	5.2%
r	128	4.8%
s	126	4.7%
h	102	3.8%
Other values (50)	829	31.0%

None

Value	Count	Frequency (%)
	7	100.0%

Punctuation

Value	Count	Frequency (%)
…	1	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	38
Distinct (%)	76.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46742.66

Minimum	10892
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	10892
5-th percentile	18109.6
Q1	43157.5
median	52424
Q3	52743
95-th percentile	59702.15
Maximum	61755
Range	50863
Interquartile range (IQR)	9585.5

Descriptive statistics

Standard deviation	12416.46129
Coefficient of variation (CV)	0.2656344609
Kurtosis	1.839173152
Mean	46742.66
Median Absolute Deviation (MAD)	1427
Skewness	-1.613574112
Sum	2337133
Variance	154168510.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
52653	8	16.0%
34940	2	4.0%
52685	2	4.0%
52743	2	4.0%
52781	2	4.0%
49948	2	4.0%
10892	1	2.0%
59951	1	2.0%
53669	1	2.0%
58645	1	2.0%
Other values (28)	28	56.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10892	1	2.0%
12906	1	2.0%
17584	1	2.0%
18752	1	2.0%
19628	1	2.0%
30606	1	2.0%
33463	1	2.0%
34940	2	4.0%
36907	1	2.0%
39314	1	2.0%

Value	Count	Frequency (%)
61755	1	2.0%
60246	1	2.0%
59951	1	2.0%
59398	1	2.0%
58645	1	2.0%
54033	1	2.0%
53669	1	2.0%
53467	1	2.0%
53094	1	2.0%
52898	1	2.0%

_embedded_show_url
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	38
Distinct (%)	76.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

https://www.tvmaze.com/shows/52653/outlier	8
https://www.tvmaze.com/shows/34940/fancy-nancy	2
https://www.tvmaze.com/shows/52685/the-controllers	2
https://www.tvmaze.com/shows/52743/the-penalty-zone	2
https://www.tvmaze.com/shows/52781/love-script	2
Other values (33)	34

Length

Max length	77
Median length	59
Mean length	48.16
Min length	39

Characters and Unicode

Total characters	2408
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	64.0%

Sample

1st row	https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino
2nd row	https://www.tvmaze.com/shows/19628/top-10-po-versii-seasonvarru
3rd row	https://www.tvmaze.com/shows/51471/hero-return
4th row	https://www.tvmaze.com/shows/52178/swallowed-star
5th row	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52653/outlier	8	16.0%
https://www.tvmaze.com/shows/34940/fancy-nancy	2	4.0%
https://www.tvmaze.com/shows/52685/the-controllers	2	4.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone	2	4.0%
https://www.tvmaze.com/shows/52781/love-script	2	4.0%
https://www.tvmaze.com/shows/49948/love-revolution	2	4.0%
https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino	1	2.0%
https://www.tvmaze.com/shows/59951/awesomeness-tvs-next-influencer	1	2.0%
https://www.tvmaze.com/shows/53669/lulu	1	2.0%
https://www.tvmaze.com/shows/58645/the-motive	1	2.0%
Other values (28)	28	56.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52653/outlier	8	16.0%
https://www.tvmaze.com/shows/52685/the-controllers	2	4.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone	2	4.0%
https://www.tvmaze.com/shows/52781/love-script	2	4.0%
https://www.tvmaze.com/shows/49948/love-revolution	2	4.0%
https://www.tvmaze.com/shows/34940/fancy-nancy	2	4.0%
https://www.tvmaze.com/shows/49524/30-monedas	1	2.0%
https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai	1	2.0%
https://www.tvmaze.com/shows/50398/mans-diary	1	2.0%
https://www.tvmaze.com/shows/52898/legend-of-yun-qian	1	2.0%
Other values (28)	28	56.0%

Most occurring characters

Value	Count	Frequency (%)
/	250	10.4%
w	206	8.6%
t	196	8.1%
s	185	7.7%
o	151	6.3%
e	119	4.9%
h	117	4.9%
m	108	4.5%
.	100	4.2%
a	94	3.9%
Other values (30)	882	36.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1694	70.3%
Other Punctuation	400	16.6%
Decimal Number	255	10.6%
Dash Punctuation	59	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	206	12.2%
t	196	11.6%
s	185	10.9%
o	151	8.9%
e	119	7.0%
h	117	6.9%
m	108	6.4%
a	94	5.5%
c	75	4.4%
p	67	4.0%
Other values (16)	376	22.2%

Decimal Number

Value	Count	Frequency (%)
5	50	19.6%
3	33	12.9%
2	28	11.0%
4	28	11.0%
9	25	9.8%
6	24	9.4%
1	20	7.8%
8	19	7.5%
0	15	5.9%
7	13	5.1%

Other Punctuation

Value	Count	Frequency (%)
/	250	62.5%
.	100	25.0%
:	50	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	59	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1694	70.3%
Common	714	29.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	206	12.2%
t	196	11.6%
s	185	10.9%
o	151	8.9%
e	119	7.0%
h	117	6.9%
m	108	6.4%
a	94	5.5%
c	75	4.4%
p	67	4.0%
Other values (16)	376	22.2%

Common

Value	Count	Frequency (%)
/	250	35.0%
.	100	14.0%
-	59	8.3%
:	50	7.0%
5	50	7.0%
3	33	4.6%
2	28	3.9%
4	28	3.9%
9	25	3.5%
6	24	3.4%
Other values (4)	67	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2408	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	250	10.4%
w	206	8.6%
t	196	8.1%
s	185	7.7%
o	151	6.3%
e	119	4.9%
h	117	4.9%
m	108	4.5%
.	100	4.2%
a	94	3.9%
Other values (30)	882	36.6%

_embedded_show_name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	38
Distinct (%)	76.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

Outlier	8
Fancy Nancy	2
The Controllers	2
The Penalty Zone	2
Love Script	2
Other values (33)	34

Length

Max length	43
Median length	21
Mean length	13.4
Min length	5

Characters and Unicode

Total characters	670
Distinct characters	88
Distinct categories	8 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	64.0%

Sample

1st row	Трое из Простоквашино
2nd row	ТОП-10 по версии Seasonvar.ru
3rd row	Hero Return
4th row	Swallowed Star
5th row	Wu Shen Zhu Zai

Common Values

Value	Count	Frequency (%)
Outlier	8	16.0%
Fancy Nancy	2	4.0%
The Controllers	2	4.0%
The Penalty Zone	2	4.0%
Love Script	2	4.0%
Love Revolution	2	4.0%
Трое из Простоквашино	1	2.0%
Awesomeness TV's Next Influencer	1	2.0%
Lu'lu'	1	2.0%
The Motive	1	2.0%
Other values (28)	28	56.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
outlier	8	7.4%
the	6	5.6%
love	4	3.7%
zone	2	1.9%
fancy	2	1.9%
script	2	1.9%
revolution	2	1.9%
penalty	2	1.9%
controllers	2	1.9%
nancy	2	1.9%
Other values (75)	76	70.4%

Most occurring characters

Value	Count	Frequency (%)
e	63	9.4%
	58	8.7%
n	39	5.8%
i	34	5.1%
a	34	5.1%
r	33	4.9%
o	33	4.9%
t	32	4.8%
l	29	4.3%
u	27	4.0%
Other values (78)	288	43.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	494	73.7%
Uppercase Letter	101	15.1%
Space Separator	58	8.7%
Other Punctuation	9	1.3%
Decimal Number	5	0.7%
Open Punctuation	1	0.1%
Dash Punctuation	1	0.1%
Close Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	63	12.8%
n	39	7.9%
i	34	6.9%
a	34	6.9%
r	33	6.7%
o	33	6.7%
t	32	6.5%
l	29	5.9%
u	27	5.5%
s	21	4.3%
Other values (38)	149	30.2%

Uppercase Letter

Value	Count	Frequency (%)
O	11	10.9%
T	10	9.9%
S	9	8.9%
L	9	8.9%
F	6	5.9%
M	5	5.0%
P	5	5.0%
C	5	5.0%
B	4	4.0%
Z	4	4.0%
Other values (19)	33	32.7%

Decimal Number

Value	Count	Frequency (%)
0	2	40.0%
3	1	20.0%
1	1	20.0%
7	1	20.0%

Other Punctuation

Value	Count	Frequency (%)
'	6	66.7%
:	2	22.2%
.	1	11.1%

Space Separator

Value	Count	Frequency (%)
	58	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	533	79.6%
Common	75	11.2%
Cyrillic	62	9.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	63	11.8%
n	39	7.3%
i	34	6.4%
a	34	6.4%
r	33	6.2%
o	33	6.2%
t	32	6.0%
l	29	5.4%
u	27	5.1%
s	21	3.9%
Other values (41)	188	35.3%

Cyrillic

Value	Count	Frequency (%)
и	8	12.9%
о	6	9.7%
е	5	8.1%
к	4	6.5%
р	4	6.5%
с	4	6.5%
а	3	4.8%
я	2	3.2%
Т	2	3.2%
п	2	3.2%
Other values (16)	22	35.5%

Common

Value	Count	Frequency (%)
	58	77.3%
'	6	8.0%
0	2	2.7%
:	2	2.7%
3	1	1.3%
(	1	1.3%
.	1	1.3%
1	1	1.3%
-	1	1.3%
7	1	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	604	90.1%
Cyrillic	62	9.3%
None	4	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	63	10.4%
	58	9.6%
n	39	6.5%
i	34	5.6%
a	34	5.6%
r	33	5.5%
o	33	5.5%
t	32	5.3%
l	29	4.8%
u	27	4.5%
Other values (50)	222	36.8%

Cyrillic

Value	Count	Frequency (%)
и	8	12.9%
о	6	9.7%
е	5	8.1%
к	4	6.5%
р	4	6.5%
с	4	6.5%
а	3	4.8%
я	2	3.2%
Т	2	3.2%
п	2	3.2%
Other values (16)	22	35.5%

None

Value	Count	Frequency (%)
í	2	50.0%
á	2	50.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	14.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

Scripted	29
Animation	8
Talk Show	5
Documentary	3
Reality	2
Other values (2)	3

Length

Max length	11
Median length	8
Mean length	8.26
Min length	4

Characters and Unicode

Total characters	413
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.0%

Sample

1st row	Animation
2nd row	Talk Show
3rd row	Animation
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	29	58.0%
Animation	8	16.0%
Talk Show	5	10.0%
Documentary	3	6.0%
Reality	2	4.0%
News	2	4.0%
Game Show	1	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	29	51.8%
animation	8	14.3%
show	6	10.7%
talk	5	8.9%
documentary	3	5.4%
reality	2	3.6%
news	2	3.6%
game	1	1.8%

Most occurring characters

Value	Count	Frequency (%)
i	47	11.4%
t	42	10.2%
e	37	9.0%
S	35	8.5%
r	32	7.7%
c	32	7.7%
p	29	7.0%
d	29	7.0%
a	19	4.6%
n	19	4.6%
Other values (16)	92	22.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	351	85.0%
Uppercase Letter	56	13.6%
Space Separator	6	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	47	13.4%
t	42	12.0%
e	37	10.5%
r	32	9.1%
c	32	9.1%
p	29	8.3%
d	29	8.3%
a	19	5.4%
n	19	5.4%
o	17	4.8%
Other values (8)	48	13.7%

Uppercase Letter

Value	Count	Frequency (%)
S	35	62.5%
A	8	14.3%
T	5	8.9%
D	3	5.4%
R	2	3.6%
N	2	3.6%
G	1	1.8%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	407	98.5%
Common	6	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	47	11.5%
t	42	10.3%
e	37	9.1%
S	35	8.6%
r	32	7.9%
c	32	7.9%
p	29	7.1%
d	29	7.1%
a	19	4.7%
n	19	4.7%
Other values (15)	86	21.1%

Common

Value	Count	Frequency (%)
	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	413	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	47	11.4%
t	42	10.2%
e	37	9.0%
S	35	8.5%
r	32	7.7%
c	32	7.7%
p	29	7.0%
d	29	7.0%
a	19	4.6%
n	19	4.6%
Other values (16)	92	22.3%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	28.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

Chinese	11
Norwegian	10
English	8
Russian	5
Korean	3
Other values (9)	13

Length

Max length	10
Median length	7
Mean length	7.38
Min length	6

Characters and Unicode

Total characters	369
Distinct characters	30
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	12.0%

Sample

1st row	Russian
2nd row	Russian
3rd row	Chinese
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
Chinese	11	22.0%
Norwegian	10	20.0%
English	8	16.0%
Russian	5	10.0%
Korean	3	6.0%
Spanish	3	6.0%
Japanese	2	4.0%
Arabic	2	4.0%
Danish	1	2.0%
Romanian	1	2.0%
Other values (4)	4	8.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	11	22.0%
norwegian	10	20.0%
english	8	16.0%
russian	5	10.0%
korean	3	6.0%
spanish	3	6.0%
japanese	2	4.0%
arabic	2	4.0%
danish	1	2.0%
romanian	1	2.0%
Other values (4)	4	8.0%

Most occurring characters

Value	Count	Frequency (%)
n	45	12.2%
e	44	11.9%
i	42	11.4%
s	37	10.0%
a	32	8.7%
h	24	6.5%
g	21	5.7%
r	17	4.6%
o	16	4.3%
w	12	3.3%
Other values (20)	79	21.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	319	86.4%
Uppercase Letter	50	13.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	45	14.1%
e	44	13.8%
i	42	13.2%
s	37	11.6%
a	32	10.0%
h	24	7.5%
g	21	6.6%
r	17	5.3%
o	16	5.0%
w	12	3.8%
Other values (8)	29	9.1%

Uppercase Letter

Value	Count	Frequency (%)
C	11	22.0%
N	10	20.0%
E	8	16.0%
R	6	12.0%
S	4	8.0%
K	3	6.0%
J	2	4.0%
A	2	4.0%
D	1	2.0%
T	1	2.0%
Other values (2)	2	4.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	369	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	45	12.2%
e	44	11.9%
i	42	11.4%
s	37	10.0%
a	32	8.7%
h	24	6.5%
g	21	5.7%
r	17	4.6%
o	16	4.3%
w	12	3.3%
Other values (20)	79	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	369	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	45	12.2%
e	44	11.9%
i	42	11.4%
s	37	10.0%
a	32	8.7%
h	24	6.5%
g	21	5.7%
r	17	4.6%
o	16	4.3%
w	12	3.3%
Other values (20)	79	21.4%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	21
Distinct (%)	42.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

['Drama', 'Crime', 'Thriller']	10
[]	9
['Comedy']	5
['Drama', 'Comedy', 'Romance']	4
['Drama', 'Romance']	3
Other values (16)	19

Length

Max length	43
Median length	35
Mean length	21
Min length	2

Characters and Unicode

Total characters	1050
Distinct characters	32
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	26.0%

Sample

1st row	['Children', 'Family']
2nd row	[]
3rd row	['Action', 'Anime', 'Science-Fiction']
4th row	['Anime', 'Science-Fiction']
5th row	['Action', 'Adventure', 'Anime', 'Fantasy']

Common Values

Value	Count	Frequency (%)
['Drama', 'Crime', 'Thriller']	10	20.0%
[]	9	18.0%
['Comedy']	5	10.0%
['Drama', 'Comedy', 'Romance']	4	8.0%
['Drama', 'Romance']	3	6.0%
['Comedy', 'Adventure', 'Children']	2	4.0%
['Drama', 'Action', 'Crime']	2	4.0%
['Drama']	2	4.0%
['Children', 'Family']	1	2.0%
['Drama', 'Comedy', 'Crime']	1	2.0%
Other values (11)	11	22.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	23	21.3%
crime	14	13.0%
comedy	13	12.0%
thriller	11	10.2%
	9	8.3%
romance	8	7.4%
action	5	4.6%
anime	5	4.6%
children	4	3.7%
adventure	3	2.8%
Other values (9)	13	12.0%

Most occurring characters

Value	Count	Frequency (%)
'	198	18.9%
r	76	7.2%
e	70	6.7%
m	64	6.1%
a	59	5.6%
,	58	5.5%
	58	5.5%
i	52	5.0%
]	50	4.8%
[	50	4.8%
Other values (22)	315	30.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	531	50.6%
Other Punctuation	256	24.4%
Uppercase Letter	102	9.7%
Space Separator	58	5.5%
Close Punctuation	50	4.8%
Open Punctuation	50	4.8%
Dash Punctuation	3	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	76	14.3%
e	70	13.2%
m	64	12.1%
a	59	11.1%
i	52	9.8%
o	34	6.4%
n	33	6.2%
l	28	5.3%
c	23	4.3%
y	21	4.0%
Other values (7)	71	13.4%

Uppercase Letter

Value	Count	Frequency (%)
C	31	30.4%
D	23	22.5%
A	13	12.7%
T	11	10.8%
R	8	7.8%
F	5	4.9%
S	5	4.9%
M	3	2.9%
H	3	2.9%

Other Punctuation

Value	Count	Frequency (%)
'	198	77.3%
,	58	22.7%

Space Separator

Value	Count	Frequency (%)
	58	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	50	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	50	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	633	60.3%
Common	417	39.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	76	12.0%
e	70	11.1%
m	64	10.1%
a	59	9.3%
i	52	8.2%
o	34	5.4%
n	33	5.2%
C	31	4.9%
l	28	4.4%
c	23	3.6%
Other values (16)	163	25.8%

Common

Value	Count	Frequency (%)
'	198	47.5%
,	58	13.9%
	58	13.9%
]	50	12.0%
[	50	12.0%
-	3	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1050	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	198	18.9%
r	76	7.2%
e	70	6.7%
m	64	6.1%
a	59	5.6%
,	58	5.5%
	58	5.5%
i	52	5.0%
]	50	4.8%
[	50	4.8%
Other values (22)	315	30.0%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

Running	30
Ended	18
To Be Determined	2

Length

Max length	16
Median length	7
Mean length	6.64
Min length	5

Characters and Unicode

Total characters	332
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Running
3rd row	Running
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	30	60.0%
Ended	18	36.0%
To Be Determined	2	4.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	30	55.6%
ended	18	33.3%
to	2	3.7%
be	2	3.7%
determined	2	3.7%

Most occurring characters

Value	Count	Frequency (%)
n	110	33.1%
d	38	11.4%
i	32	9.6%
R	30	9.0%
u	30	9.0%
g	30	9.0%
e	26	7.8%
E	18	5.4%
	4	1.2%
T	2	0.6%
Other values (6)	12	3.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	274	82.5%
Uppercase Letter	54	16.3%
Space Separator	4	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	110	40.1%
d	38	13.9%
i	32	11.7%
u	30	10.9%
g	30	10.9%
e	26	9.5%
o	2	0.7%
t	2	0.7%
r	2	0.7%
m	2	0.7%

Uppercase Letter

Value	Count	Frequency (%)
R	30	55.6%
E	18	33.3%
T	2	3.7%
B	2	3.7%
D	2	3.7%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	328	98.8%
Common	4	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	110	33.5%
d	38	11.6%
i	32	9.8%
R	30	9.1%
u	30	9.1%
g	30	9.1%
e	26	7.9%
E	18	5.5%
T	2	0.6%
o	2	0.6%
Other values (5)	10	3.0%

Common

Value	Count	Frequency (%)
	4	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	332	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	110	33.1%
d	38	11.4%
i	32	9.6%
R	30	9.0%
u	30	9.0%
g	30	9.0%
e	26	7.8%
E	18	5.4%
	4	1.2%
T	2	0.6%
Other values (6)	12	3.6%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	50.0%
Missing	18
Missing (%)	36.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.25

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	4
5-th percentile	7.55
Q1	15
median	35
Q3	45
95-th percentile	87
Maximum	120
Range	116
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	27.92732504
Coefficient of variation (CV)	0.7704089666
Kurtosis	3.403441749
Mean	36.25
Median Absolute Deviation (MAD)	15
Skewness	1.633091421
Sum	1160
Variance	779.9354839
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
45	8	16.0%
15	3	6.0%
60	3	6.0%
120	2	4.0%
12	2	4.0%
20	2	4.0%
25	2	4.0%
40	2	4.0%
7	1	2.0%
50	1	2.0%
Other values (6)	6	12.0%
(Missing)	18	36.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	2.0%
7	1	2.0%
8	1	2.0%
9	1	2.0%
11	1	2.0%
12	2	4.0%
15	3	6.0%
20	2	4.0%
22	1	2.0%
25	2	4.0%

Value	Count	Frequency (%)
120	2	4.0%
60	3	6.0%
50	1	2.0%
45	8	16.0%
40	2	4.0%
30	1	2.0%
25	2	4.0%
22	1	2.0%
20	2	4.0%
15	3	6.0%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	26
Distinct (%)	55.3%
Missing	3
Missing (%)	6.0%
Infinite	0
Infinite (%)	0.0%
Mean	38

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	4
5-th percentile	9
Q1	20
median	43
Q3	45
95-th percentile	65.4
Maximum	120
Range	116
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	24.12107143
Coefficient of variation (CV)	0.6347650376
Kurtosis	4.013355234
Mean	38
Median Absolute Deviation (MAD)	15
Skewness	1.52983711
Sum	1786
Variance	581.826087
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
43	9	18.0%
45	7	14.0%
15	3	6.0%
20	2	4.0%
9	2	4.0%
60	2	4.0%
12	2	4.0%
120	2	4.0%
32	1	2.0%
59	1	2.0%
Other values (16)	16	32.0%
(Missing)	3	6.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	2.0%
8	1	2.0%
9	2	4.0%
12	2	4.0%
13	1	2.0%
15	3	6.0%
16	1	2.0%
20	2	4.0%
21	1	2.0%
22	1	2.0%

Value	Count	Frequency (%)
120	2	4.0%
66	1	2.0%
64	1	2.0%
60	2	4.0%
59	1	2.0%
57	1	2.0%
47	1	2.0%
45	7	14.0%
43	9	18.0%
40	1	2.0%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	62.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

2020-12-27	12
2020-11-22	3
2020-11-29	2
2018-07-13	2
2020-09-01	2
Other values (26)	29

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	500
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	23 ?
Unique (%)	46.0%

Sample

1st row	1978-06-10
2nd row	2015-11-27
3rd row	2020-10-18
4th row	2020-11-29
5th row	2020-03-08

Common Values

Value	Count	Frequency (%)
2020-12-27	12	24.0%
2020-11-22	3	6.0%
2020-11-29	2	4.0%
2018-07-13	2	4.0%
2020-09-01	2	4.0%
2020-12-20	2	4.0%
2020-12-16	2	4.0%
2020-12-26	2	4.0%
2019-07-29	1	2.0%
2017-11-02	1	2.0%
Other values (21)	21	42.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-27	12	24.0%
2020-11-22	3	6.0%
2020-11-29	2	4.0%
2018-07-13	2	4.0%
2020-09-01	2	4.0%
2020-12-20	2	4.0%
2020-12-16	2	4.0%
2020-12-26	2	4.0%
2020-11-08	1	2.0%
2018-10-24	1	2.0%
Other values (21)	21	42.0%

Most occurring characters

Value	Count	Frequency (%)
2	140	28.0%
0	116	23.2%
-	100	20.0%
1	75	15.0%
7	23	4.6%
9	13	2.6%
8	9	1.8%
6	8	1.6%
3	6	1.2%
5	5	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	400	80.0%
Dash Punctuation	100	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	140	35.0%
0	116	29.0%
1	75	18.8%
7	23	5.8%
9	13	3.2%
8	9	2.2%
6	8	2.0%
3	6	1.5%
5	5	1.2%
4	5	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	100	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	500	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	140	28.0%
0	116	23.2%
-	100	20.0%
1	75	15.0%
7	23	4.6%
9	13	2.6%
8	9	1.8%
6	8	1.6%
3	6	1.2%
5	5	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	500	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	140	28.0%
0	116	23.2%
-	100	20.0%
1	75	15.0%
7	23	4.6%
9	13	2.6%
8	9	1.8%
6	8	1.6%
3	6	1.2%
5	5	1.0%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	18.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

nan	32
2020-12-27	10
2021-01-25	2
2020-12-31	1
2021-01-17	1
Other values (4)	4

Length

Max length	10
Median length	3
Mean length	5.52
Min length	3

Characters and Unicode

Total characters	276
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	12.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	32	64.0%
2020-12-27	10	20.0%
2021-01-25	2	4.0%
2020-12-31	1	2.0%
2021-01-17	1	2.0%
2021-01-03	1	2.0%
2021-03-01	1	2.0%
2021-01-31	1	2.0%
2020-12-30	1	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	32	64.0%
2020-12-27	10	20.0%
2021-01-25	2	4.0%
2020-12-31	1	2.0%
2021-01-17	1	2.0%
2021-01-03	1	2.0%
2021-03-01	1	2.0%
2021-01-31	1	2.0%
2020-12-30	1	2.0%

Most occurring characters

Value	Count	Frequency (%)
n	64	23.2%
2	60	21.7%
0	39	14.1%
-	36	13.0%
a	32	11.6%
1	27	9.8%
7	11	4.0%
3	5	1.8%
5	2	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	144	52.2%
Lowercase Letter	96	34.8%
Dash Punctuation	36	13.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	60	41.7%
0	39	27.1%
1	27	18.8%
7	11	7.6%
3	5	3.5%
5	2	1.4%

Lowercase Letter

Value	Count	Frequency (%)
n	64	66.7%
a	32	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	180	65.2%
Latin	96	34.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	60	33.3%
0	39	21.7%
-	36	20.0%
1	27	15.0%
7	11	6.1%
3	5	2.8%
5	2	1.1%

Latin

Value	Count	Frequency (%)
n	64	66.7%
a	32	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	276	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	64	23.2%
2	60	21.7%
0	39	14.1%
-	36	13.0%
a	32	11.6%
1	27	9.8%
7	11	4.0%
3	5	1.8%
5	2	0.7%

_embedded_show_officialSite
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	36
Distinct (%)	72.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

https://hbonordic.com/series/outlier/b6fcd668-52c9-4200-a80f-e1fb829ebe7d	8
nan	5
https://disneynow.com/shows/fancy-nancy	2
https://www.iqiyi.com/a_19rrhllpip.html	2
https://tv.kakao.com/channel/3643849/cliplink/412069527?metaObjectType=Channel	2
Other values (31)	31

Length

Max length	85
Median length	72
Mean length	49.52
Min length	3

Characters and Unicode

Total characters	2476
Distinct characters	67
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	62.0%

Sample

1st row	https://okko.tv/serial/prostokvashino
2nd row	http://seasonvar.ru/serial-12772-TOP-10_po_versii_Seasonvarru-1-season.html
3rd row	https://v.qq.com/detail/q/q72jd29a3oxflsr.html
4th row	https://v.qq.com/detail/3/324olz7ilvo2j5f.html
5th row	https://v.qq.com/detail/m/7q544xyrava3vxf.html

Common Values

Value	Count	Frequency (%)
https://hbonordic.com/series/outlier/b6fcd668-52c9-4200-a80f-e1fb829ebe7d	8	16.0%
nan	5	10.0%
https://disneynow.com/shows/fancy-nancy	2	4.0%
https://www.iqiyi.com/a_19rrhllpip.html	2	4.0%
https://tv.kakao.com/channel/3643849/cliplink/412069527?metaObjectType=Channel	2	4.0%
https://okko.tv/serial/prostokvashino	1	2.0%
https://pro-tv.info/projects/dekonstruktsiya/	1	2.0%
https://www.discoveryplus.se/program/pappas-pojkar	1	2.0%
https://shahid.mbc.net/en/series/Lu'lu'/series-825696	1	2.0%
https://www.netflix.com/title/81449754	1	2.0%
Other values (26)	26	52.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://hbonordic.com/series/outlier/b6fcd668-52c9-4200-a80f-e1fb829ebe7d	8	16.0%
nan	5	10.0%
https://disneynow.com/shows/fancy-nancy	2	4.0%
https://www.iqiyi.com/a_19rrhllpip.html	2	4.0%
https://tv.kakao.com/channel/3643849/cliplink/412069527?metaobjecttype=channel	2	4.0%
https://www.atresplayer.com/series/byanamilan	1	2.0%
https://www.youtube.com/channel/uc1efxmjnkjitxpfwty6rswg	1	2.0%
https://viaplay.dk/serier/friheden	1	2.0%
https://www.youtube.com/user/scishow	1	2.0%
https://tv.nrk.no/serie/labyrint	1	2.0%
Other values (26)	26	52.0%

Most occurring characters

Value	Count	Frequency (%)
/	208	8.4%
e	168	6.8%
t	165	6.7%
s	136	5.5%
o	121	4.9%
i	98	4.0%
h	97	3.9%
a	97	3.9%
c	96	3.9%
n	94	3.8%
Other values (57)	1196	48.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1719	69.4%
Other Punctuation	336	13.6%
Decimal Number	289	11.7%
Dash Punctuation	80	3.2%
Uppercase Letter	44	1.8%
Connector Punctuation	6	0.2%
Math Symbol	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	168	9.8%
t	165	9.6%
s	136	7.9%
o	121	7.0%
i	98	5.7%
h	97	5.6%
a	97	5.6%
c	96	5.6%
n	94	5.5%
r	83	4.8%
Other values (16)	564	32.8%

Uppercase Letter

Value	Count	Frequency (%)
T	5	11.4%
C	5	11.4%
O	4	9.1%
F	3	6.8%
U	3	6.8%
A	2	4.5%
W	2	4.5%
B	2	4.5%
Y	2	4.5%
Z	2	4.5%
Other values (12)	14	31.8%

Decimal Number

Value	Count	Frequency (%)
2	45	15.6%
0	37	12.8%
6	37	12.8%
8	31	10.7%
9	28	9.7%
4	28	9.7%
7	24	8.3%
1	23	8.0%
5	20	6.9%
3	16	5.5%

Other Punctuation

Value	Count	Frequency (%)
/	208	61.9%
.	78	23.2%
:	45	13.4%
?	2	0.6%
'	2	0.6%
%	1	0.3%

Dash Punctuation

Value	Count	Frequency (%)
-	80	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	6	100.0%

Math Symbol

Value	Count	Frequency (%)
=	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1763	71.2%
Common	713	28.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	168	9.5%
t	165	9.4%
s	136	7.7%
o	121	6.9%
i	98	5.6%
h	97	5.5%
a	97	5.5%
c	96	5.4%
n	94	5.3%
r	83	4.7%
Other values (38)	608	34.5%

Common

Value	Count	Frequency (%)
/	208	29.2%
-	80	11.2%
.	78	10.9%
2	45	6.3%
:	45	6.3%
0	37	5.2%
6	37	5.2%
8	31	4.3%
9	28	3.9%
4	28	3.9%
Other values (9)	96	13.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2476	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	208	8.4%
e	168	6.8%
t	165	6.7%
s	136	5.5%
o	121	4.9%
i	98	4.0%
h	97	3.9%
a	97	3.9%
c	96	3.9%
n	94	3.8%
Other values (57)	1196	48.3%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	29
Distinct (%)	58.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	41.08

Minimum	1
Maximum	88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1
5-th percentile	4.35
Q1	18
median	31.5
Q3	72.25
95-th percentile	76
Maximum	88
Range	87
Interquartile range (IQR)	54.25

Descriptive statistics

Standard deviation	27.15476431
Coefficient of variation (CV)	0.6610215264
Kurtosis	-1.446077151
Mean	41.08
Median Absolute Deviation (MAD)	20.5
Skewness	0.2691134983
Sum	2054
Variance	737.3812245
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
75	8	16.0%
18	4	8.0%
27	3	6.0%
24	2	4.0%
28	2	4.0%
17	2	4.0%
70	2	4.0%
41	2	4.0%
34	2	4.0%
59	2	4.0%
Other values (19)	21	42.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	2.0%
2	1	2.0%
3	1	2.0%
6	1	2.0%
8	1	2.0%
10	1	2.0%
12	1	2.0%
14	1	2.0%
15	1	2.0%
17	2	4.0%

Value	Count	Frequency (%)
88	2	4.0%
76	2	4.0%
75	8	16.0%
73	1	2.0%
70	2	4.0%
67	1	2.0%
59	2	4.0%
57	1	2.0%
44	1	2.0%
41	2	4.0%

_embedded_show_webChannel
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	53.2%
Missing	3
Missing (%)	6.0%
Memory size	528.0 B

{'id': 330, 'name': 'HBO Nordic', 'country': None, 'officialSite': None}	8
{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}	6
{'id': 226, 'name': 'Mango TV', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://w.mgtv.com/'}	4
{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}	3
{'id': 67, 'name': 'iQIYI', 'country': None, 'officialSite': 'https://www.iq.com/'}	2
Other values (20)	24

Length

Max length	158
Median length	141
Mean length	110.7234043
Min length	67

Characters and Unicode

Total characters	5204
Distinct characters	68
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	34.0%

Sample

1st row	{'id': 56, 'name': 'Seasonvar', 'country': {'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}, 'officialSite': None}
2nd row	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
3rd row	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
4th row	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}
5th row	{'id': 51, 'name': 'Bilibili', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': None}

Common Values

Value	Count	Frequency (%)
{'id': 330, 'name': 'HBO Nordic', 'country': None, 'officialSite': None}	8	16.0%
{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}	6	12.0%
{'id': 226, 'name': 'Mango TV', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://w.mgtv.com/'}	4	8.0%
{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}	3	6.0%
{'id': 67, 'name': 'iQIYI', 'country': None, 'officialSite': 'https://www.iq.com/'}	2	4.0%
{'id': 83, 'name': 'DisneyNOW', 'country': {'name': 'United States', 'code': 'US', 'timezone': 'America/New_York'}, 'officialSite': None}	2	4.0%
{'id': 294, 'name': 'Kakao TV', 'country': {'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}, 'officialSite': 'https://tv.kakao.com/top'}	2	4.0%
{'id': 377, 'name': 'ATRESplayer PREMIUM', 'country': {'name': 'Spain', 'code': 'ES', 'timezone': 'Europe/Madrid'}, 'officialSite': None}	2	4.0%
{'id': 379, 'name': 'Shahid', 'country': None, 'officialSite': None}	2	4.0%
{'id': 265, 'name': 'ESPN+', 'country': {'name': 'United States', 'code': 'US', 'timezone': 'America/New_York'}, 'officialSite': None}	1	2.0%
Other values (15)	15	30.0%
(Missing)	3	6.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
name	71	13.2%
none	48	8.9%
id	47	8.7%
country	47	8.7%
officialsite	47	8.7%
code	24	4.5%
timezone	24	4.5%
hbo	9	1.7%
tv	9	1.7%
china	9	1.7%
Other values (93)	203	37.7%

Most occurring characters

Value	Count	Frequency (%)
'	802	15.4%
	491	9.4%
e	313	6.0%
i	296	5.7%
:	282	5.4%
o	280	5.4%
n	237	4.6%
a	219	4.2%
t	208	4.0%
,	193	3.7%
Other values (58)	1883	36.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2653	51.0%
Other Punctuation	1403	27.0%
Space Separator	491	9.4%
Uppercase Letter	381	7.3%
Decimal Number	125	2.4%
Open Punctuation	71	1.4%
Close Punctuation	71	1.4%
Connector Punctuation	6	0.1%
Math Symbol	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	313	11.8%
i	296	11.2%
o	280	10.6%
n	237	8.9%
a	219	8.3%
t	208	7.8%
c	165	6.2%
m	131	4.9%
f	100	3.8%
d	94	3.5%
Other values (15)	610	23.0%

Uppercase Letter

Value	Count	Frequency (%)
N	81	21.3%
S	80	21.0%
T	27	7.1%
A	22	5.8%
C	19	5.0%
U	15	3.9%
R	15	3.9%
O	15	3.9%
Y	14	3.7%
B	12	3.1%
Other values (13)	81	21.3%

Decimal Number

Value	Count	Frequency (%)
3	31	24.8%
2	24	19.2%
1	18	14.4%
0	15	12.0%
7	11	8.8%
6	8	6.4%
4	7	5.6%
9	4	3.2%
5	4	3.2%
8	3	2.4%

Other Punctuation

Value	Count	Frequency (%)
'	802	57.2%
:	282	20.1%
,	193	13.8%
/	83	5.9%
.	43	3.1%

Space Separator

Value	Count	Frequency (%)
	491	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	71	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	71	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	6	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3034	58.3%
Common	2170	41.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	313	10.3%
i	296	9.8%
o	280	9.2%
n	237	7.8%
a	219	7.2%
t	208	6.9%
c	165	5.4%
m	131	4.3%
f	100	3.3%
d	94	3.1%
Other values (38)	991	32.7%

Common

Value	Count	Frequency (%)
'	802	37.0%
	491	22.6%
:	282	13.0%
,	193	8.9%
/	83	3.8%
{	71	3.3%
}	71	3.3%
.	43	2.0%
3	31	1.4%
2	24	1.1%
Other values (10)	79	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5204	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	802	15.4%
	491	9.4%
e	313	6.0%
i	296	5.7%
:	282	5.4%
o	280	5.4%
n	237	4.6%
a	219	4.2%
t	208	4.0%
,	193	3.7%
Other values (58)	1883	36.2%

_embedded_show_dvdCountry
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

nan	50

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	150
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	50	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	50	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	100	66.7%
a	50	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	150	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	100	66.7%
a	50	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	150	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	100	66.7%
a	50	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	100	66.7%
a	50	33.3%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	33
Distinct (%)	66.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

<p>In the middle of the night, far north in Norway at Finnmarksvidda, the Sami teenager Elle Jannok is on her way home from a party, when she finds a cell phone ringing. The phone belongs to a missing girl, Sofie. A couple of days later, the local police discover Sofie's body in a caravan three hours south of Finnmark.</p><p>Maja Angell, who is studying at the University of London, is defending her highly debated doctoral thesis on criminology & profiling as she hears about the murder case in her old home town in Northern Norway. She defies all warnings and leaves the University to travel North. She has a message for the local police: the man charged with the murder, is not the killer. But no one's willing to listen to her theories. Not until Maja dares to delve into her own most dangerous, repressed memories of childhood will she be able to stop him and soon she realize that the killer is closer than she ever imagined.</p>	8
nan	6
<p><b>Fancy Nancy</b> centers around six-year-old Nancy, a girl who likes to be fancy in everything from her advanced vocabulary to her creative, elaborate attire. Excited to experience what the magnificent world has to offer, Nancy uses her ingenuity and imagination as she learns that while life doesn't always go as planned, it's important to celebrate the differences that make everyone unique.</p>	2
<p>The story of the "unique romance" about teenagers navigating love, friendship, and the chaos of high school. The story will focus mainly on Gong Joo Young, a cute and lovable student who falls in love at first sight with the standoffish and popular Wang Ja Rim. Unwavering in his love for Wang Ja Rim, the confident and cheerful Gong Joo Young isn't shy about his feelings and is determined to win her heart no matter what. However, despite his gentle, sweet nature when it comes to love, Gong Joo Young is also a steadfast, loyal friend who shows off a tougher and more mature side when his friends need his help.</p>	2
<p>Ju Xuanwen (Wan Yan Lo-yun) is a man with a noble appearance and many virtues. It is a pity that he fell ill with neurosis at a young age - after an unexplained car accident he falls into a delusional state and considers himself a prince. Since then, he no longer cares about the activities of his company and concentrates on becoming emperor.<br />Lo Huai (Chuang Da Fei) - psychiatrist on the verge of bankruptcy. Because of the need for money, she took responsibility for the treatment of Ju Xuanwen. However, she did not expect her peaceful days to end one day. Spending time together, they began to fall in love with each other.</p>	2
Other values (28)	30

Length

Max length	941
Median length	621
Mean length	434.82
Min length	3

Characters and Unicode

Total characters	21741
Distinct characters	79
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	52.0%

Sample

1st row	nan
2nd row	nan
3rd row	<p>Zero was mankind's first real superhero. Under his watch, countless other superheros appeared and followed in his footsteps. However, after 5 years of war, Zero disappeared without a trace.<br /><br />(Source: zeroscans)</p>
4th row	<p>One day, an unexplained RR virus appeared on the earth, drawing the world into disaster. Infected animals mutated into terrible monsters, invaded massively, and humans built walls around the destruction and established the base city as the last bastion for humans. The suffering that mankind has experienced during this period of time is known as the "Great Nirvana Period." Not only that, Luo Feng not only carried the burden of supporting the family but also to protect the human homeland, for the better survival and development of mankind, together with other justice warriors, to join hands against the fierce monsters. Under the desperate situation of the end, can Luo Feng and other warriors repel monsters and successfully protect the human world?</p>
5th row	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>

Common Values

Value	Count	Frequency (%)
<p>In the middle of the night, far north in Norway at Finnmarksvidda, the Sami teenager Elle Jannok is on her way home from a party, when she finds a cell phone ringing. The phone belongs to a missing girl, Sofie. A couple of days later, the local police discover Sofie's body in a caravan three hours south of Finnmark.</p><p>Maja Angell, who is studying at the University of London, is defending her highly debated doctoral thesis on criminology & profiling as she hears about the murder case in her old home town in Northern Norway. She defies all warnings and leaves the University to travel North. She has a message for the local police: the man charged with the murder, is not the killer. But no one's willing to listen to her theories. Not until Maja dares to delve into her own most dangerous, repressed memories of childhood will she be able to stop him and soon she realize that the killer is closer than she ever imagined.</p>	8	16.0%
nan	6	12.0%
<p><b>Fancy Nancy</b> centers around six-year-old Nancy, a girl who likes to be fancy in everything from her advanced vocabulary to her creative, elaborate attire. Excited to experience what the magnificent world has to offer, Nancy uses her ingenuity and imagination as she learns that while life doesn't always go as planned, it's important to celebrate the differences that make everyone unique.</p>	2	4.0%
<p>The story of the "unique romance" about teenagers navigating love, friendship, and the chaos of high school. The story will focus mainly on Gong Joo Young, a cute and lovable student who falls in love at first sight with the standoffish and popular Wang Ja Rim. Unwavering in his love for Wang Ja Rim, the confident and cheerful Gong Joo Young isn't shy about his feelings and is determined to win her heart no matter what. However, despite his gentle, sweet nature when it comes to love, Gong Joo Young is also a steadfast, loyal friend who shows off a tougher and more mature side when his friends need his help.</p>	2	4.0%
<p>Ju Xuanwen (Wan Yan Lo-yun) is a man with a noble appearance and many virtues. It is a pity that he fell ill with neurosis at a young age - after an unexplained car accident he falls into a delusional state and considers himself a prince. Since then, he no longer cares about the activities of his company and concentrates on becoming emperor.<br />Lo Huai (Chuang Da Fei) - psychiatrist on the verge of bankruptcy. Because of the need for money, she took responsibility for the treatment of Ju Xuanwen. However, she did not expect her peaceful days to end one day. Spending time together, they began to fall in love with each other.</p>	2	4.0%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	2	4.0%
<p>Ke Ying is a talented economics lecturer who is forced to help psychopath Feng Xiao Sheng gain real power within his corporation. The street smart Xiao Wu is a police informant, and when he discovers Fu's company is laundering money with foreign bank accounts, he uses his position as Feng Xiao Sheng's right-hand man to collect evidence. He befriends Ke Ying, and the two work together to destroy the criminal organization.</p>	2	4.0%
<p><b>Peyton's Places</b> offers a fun, insightful tour through 100 years of football, following the sport and the league's rise to an American cultural touchstone. For nearly a year, Manning has crisscrossed the country, visiting the people and places that have played an important part in the making of the NFL—highlighting memorable events, teams, players, and trends over the past century.</p>	1	2.0%
<p>A group of aspiring idols gather at Takanashi Productions and are entrusted with the company's future. The seven men who have just met represent a variety of totally different personalities. However, they each have their own charm and possess unknown potential as idols. Forming a group, they take their first step together as <b>IDOLiSH7</b>. Their brilliantly shining dancing forms onstage eventually begin captivating the hearts of the people. In the glorious but sometimes harsh world of idols, they aim for the top with dreams in their hearts!</p>	1	2.0%
<p>The lads and lasses of Achievement Hunter congregate each week to discuss the important questions in life. Plus drink beer.</p>	1	2.0%
Other values (23)	23	46.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	254	6.9%
to	120	3.2%
of	116	3.1%
a	114	3.1%
and	97	2.6%
is	73	2.0%
in	70	1.9%
she	67	1.8%
her	57	1.5%
his	34	0.9%
Other values (1004)	2704	73.0%

Most occurring characters

Value	Count	Frequency (%)
	3644	16.8%
e	2080	9.6%
t	1370	6.3%
o	1337	6.1%
a	1327	6.1%
n	1291	5.9%
i	1224	5.6%
r	1072	4.9%
s	1059	4.9%
h	976	4.5%
Other values (69)	6361	29.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16612	76.4%
Space Separator	3657	16.8%
Other Punctuation	553	2.5%
Uppercase Letter	552	2.5%
Math Symbol	304	1.4%
Dash Punctuation	34	0.2%
Decimal Number	17	0.1%
Close Punctuation	6	< 0.1%
Open Punctuation	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2080	12.5%
t	1370	8.2%
o	1337	8.0%
a	1327	8.0%
n	1291	7.8%
i	1224	7.4%
r	1072	6.5%
s	1059	6.4%
h	976	5.9%
l	734	4.4%
Other values (16)	4142	24.9%

Uppercase Letter

Value	Count	Frequency (%)
S	69	12.5%
N	55	10.0%
T	48	8.7%
F	42	7.6%
A	34	6.2%
L	28	5.1%
M	26	4.7%
H	26	4.7%
U	25	4.5%
J	24	4.3%
Other values (16)	175	31.7%

Other Punctuation

Value	Count	Frequency (%)
,	203	36.7%
.	170	30.7%
/	80	14.5%
'	44	8.0%
"	15	2.7%
!	12	2.2%
:	11	2.0%
&	8	1.4%
;	8	1.4%
?	2	0.4%

Decimal Number

Value	Count	Frequency (%)
0	6	35.3%
1	4	23.5%
5	2	11.8%
4	1	5.9%
7	1	5.9%
8	1	5.9%
2	1	5.9%
3	1	5.9%

Dash Punctuation

Value	Count	Frequency (%)
-	25	73.5%
—	8	23.5%
–	1	2.9%

Space Separator

Value	Count	Frequency (%)
	3644	99.6%
	13	0.4%

Math Symbol

Value	Count	Frequency (%)
<	152	50.0%
>	152	50.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17164	78.9%
Common	4577	21.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2080	12.1%
t	1370	8.0%
o	1337	7.8%
a	1327	7.7%
n	1291	7.5%
i	1224	7.1%
r	1072	6.2%
s	1059	6.2%
h	976	5.7%
l	734	4.3%
Other values (42)	4694	27.3%

Common

Value	Count	Frequency (%)
	3644	79.6%
,	203	4.4%
.	170	3.7%
<	152	3.3%
>	152	3.3%
/	80	1.7%
'	44	1.0%
-	25	0.5%
"	15	0.3%
	13	0.3%
Other values (17)	79	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21719	99.9%
None	13	0.1%
Punctuation	9	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3644	16.8%
e	2080	9.6%
t	1370	6.3%
o	1337	6.2%
a	1327	6.1%
n	1291	5.9%
i	1224	5.6%
r	1072	4.9%
s	1059	4.9%
h	976	4.5%
Other values (66)	6339	29.2%

None

Value	Count	Frequency (%)
	13	100.0%

Punctuation

Value	Count	Frequency (%)
—	8	88.9%
–	1	11.1%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	38
Distinct (%)	76.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1630805527

Minimum	1603467037
Maximum	1651749165
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	528.0 B

Quantile statistics

Minimum	1603467037
5-th percentile	1609699187
Q1	1614642259
median	1627558682
Q3	1648361945
95-th percentile	1651210558
Maximum	1651749165
Range	48282128
Interquartile range (IQR)	33719686

Descriptive statistics

Standard deviation	16777222.93
Coefficient of variation (CV)	0.01028769075
Kurtosis	-1.748433454
Mean	1630805527
Median Absolute Deviation (MAD)	16985825
Skewness	0.005456348607
Sum	8.154027633 × 10¹⁰
Variance	2.814752092 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
1614642259	8	16.0%
1634948018	2	4.0%
1624385332	2	4.0%
1609799896	2	4.0%
1615451069	2	4.0%
1609616788	2	4.0%
1651338648	1	2.0%
1647072955	1	2.0%
1645753286	1	2.0%
1644327009	1	2.0%
Other values (28)	28	56.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1603467037	1	2.0%
1609616788	2	4.0%
1609799896	2	4.0%
1611039497	1	2.0%
1611507979	1	2.0%
1612060922	1	2.0%
1612980960	1	2.0%
1614642259	8	16.0%
1615451069	2	4.0%
1621567285	1	2.0%

Value	Count	Frequency (%)
1651749165	1	2.0%
1651338648	1	2.0%
1651234374	1	2.0%
1651181449	1	2.0%
1650949116	1	2.0%
1650908800	1	2.0%
1650054289	1	2.0%
1649956202	1	2.0%
1649572594	1	2.0%
1649423444	1	2.0%

_links_self_href
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	50
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	528.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2087588	1
https://api.tvmaze.com/episodes/2065447	1
https://api.tvmaze.com/episodes/2090654	1
https://api.tvmaze.com/episodes/2090655	1
Other values (45)	45

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	1950
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	2.0%
https://api.tvmaze.com/episodes/2087588	1	2.0%
https://api.tvmaze.com/episodes/2065447	1	2.0%
https://api.tvmaze.com/episodes/2090654	1	2.0%
https://api.tvmaze.com/episodes/2090655	1	2.0%
https://api.tvmaze.com/episodes/2169203	1	2.0%
https://api.tvmaze.com/episodes/2312223	1	2.0%
https://api.tvmaze.com/episodes/2312224	1	2.0%
https://api.tvmaze.com/episodes/2312225	1	2.0%
https://api.tvmaze.com/episodes/2312226	1	2.0%
Other values (40)	40	80.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	2.0%
https://api.tvmaze.com/episodes/2324430	1	2.0%
https://api.tvmaze.com/episodes/1998615	1	2.0%
https://api.tvmaze.com/episodes/1964000	1	2.0%
https://api.tvmaze.com/episodes/1995405	1	2.0%
https://api.tvmaze.com/episodes/2007760	1	2.0%
https://api.tvmaze.com/episodes/1985789	1	2.0%
https://api.tvmaze.com/episodes/2039622	1	2.0%
https://api.tvmaze.com/episodes/2039623	1	2.0%
https://api.tvmaze.com/episodes/2324427	1	2.0%
Other values (40)	40	80.0%

Most occurring characters

Value	Count	Frequency (%)
/	200	10.3%
t	150	7.7%
p	150	7.7%
s	150	7.7%
e	150	7.7%
a	100	5.1%
i	100	5.1%
.	100	5.1%
m	100	5.1%
o	100	5.1%
Other values (16)	650	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1250	64.1%
Other Punctuation	350	17.9%
Decimal Number	350	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	150	12.0%
p	150	12.0%
s	150	12.0%
e	150	12.0%
a	100	8.0%
i	100	8.0%
m	100	8.0%
o	100	8.0%
h	50	4.0%
d	50	4.0%
Other values (3)	150	12.0%

Decimal Number

Value	Count	Frequency (%)
2	77	22.0%
9	46	13.1%
0	41	11.7%
1	40	11.4%
3	30	8.6%
4	26	7.4%
8	25	7.1%
7	23	6.6%
5	21	6.0%
6	21	6.0%

Other Punctuation

Value	Count	Frequency (%)
/	200	57.1%
.	100	28.6%
:	50	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1250	64.1%
Common	700	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	200	28.6%
.	100	14.3%
2	77	11.0%
:	50	7.1%
9	46	6.6%
0	41	5.9%
1	40	5.7%
3	30	4.3%
4	26	3.7%
8	25	3.6%
Other values (3)	65	9.3%

Latin

Value	Count	Frequency (%)
t	150	12.0%
p	150	12.0%
s	150	12.0%
e	150	12.0%
a	100	8.0%
i	100	8.0%
m	100	8.0%
o	100	8.0%
h	50	4.0%
d	50	4.0%
Other values (3)	150	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1950	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	200	10.3%
t	150	7.7%
p	150	7.7%
s	150	7.7%
e	150	7.7%
a	100	5.1%
i	100	5.1%
.	100	5.1%
m	100	5.1%
o	100	5.1%
Other values (16)	650	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_webChannel	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1993496	https://www.tvmaze.com/episodes/1993496/troe-iz-prostokvasino-2x41-bobrovyj-meh	Бобровый мех	2.0	41.0	regular	2020-12-27	nan	2020-12-27T00:00:00+00:00	19.0	nan	10892	https://www.tvmaze.com/shows/10892/troe-iz-prostokvasino	Трое из Простоквашино	Animation	Russian	['Children', 'Family']	Running	7.0	15.0	1978-06-10	nan	https://okko.tv/serial/prostokvashino	41.0	None	nan	nan	1.651339e+09	https://api.tvmaze.com/episodes/1977902
1	1993442	https://www.tvmaze.com/episodes/1993442/top-10-po-versii-seasonvarru-2x12-top-10-samyh-ozidaemyh-novinok-v-mire-serialov	ТОП-10 самых ожидаемых новинок в мире сериалов	2.0	12.0	regular	2020-12-27	nan	2020-12-27T00:00:00+00:00	7.0	nan	19628	https://www.tvmaze.com/shows/19628/top-10-po-versii-seasonvarru	ТОП-10 по версии Seasonvar.ru	Talk Show	Russian	[]	Running	9.0	9.0	2015-11-27	nan	http://seasonvar.ru/serial-12772-TOP-10_po_versii_Seasonvarru-1-season.html	28.0	{'id': 56, 'name': 'Seasonvar', 'country': {'name': 'Russian Federation', 'code': 'RU', 'timezone': 'Asia/Kamchatka'}, 'officialSite': None}	nan	nan	1.651181e+09	https://api.tvmaze.com/episodes/2015818
2	1956341	https://www.tvmaze.com/episodes/1956341/hero-return-1x12-episode-12	Episode 12	1.0	12.0	regular	2020-12-27	10:00	2020-12-27T02:00:00+00:00	15.0	nan	51471	https://www.tvmaze.com/shows/51471/hero-return	Hero Return	Animation	Chinese	['Action', 'Anime', 'Science-Fiction']	Running	15.0	16.0	2020-10-18	nan	https://v.qq.com/detail/q/q72jd29a3oxflsr.html	76.0	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}	nan	<p>Zero was mankind's first real superhero. Under his watch, countless other superheros appeared and followed in his footsteps. However, after 5 years of war, Zero disappeared without a trace.<br /><br />(Source: zeroscans)</p>	1.603467e+09	https://api.tvmaze.com/episodes/1964000
3	1988864	https://www.tvmaze.com/episodes/1988864/swallowed-star-1x06-episode-6	Episode 6	1.0	6.0	regular	2020-12-27	10:00	2020-12-27T02:00:00+00:00	21.0	nan	52178	https://www.tvmaze.com/shows/52178/swallowed-star	Swallowed Star	Animation	Chinese	['Anime', 'Science-Fiction']	Running	NaN	21.0	2020-11-29	nan	https://v.qq.com/detail/3/324olz7ilvo2j5f.html	88.0	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}	nan	<p>One day, an unexplained RR virus appeared on the earth, drawing the world into disaster. Infected animals mutated into terrible monsters, invaded massively, and humans built walls around the destruction and established the base city as the last bastion for humans. The suffering that mankind has experienced during this period of time is known as the "Great Nirvana Period." Not only that, Luo Feng not only carried the burden of supporting the family but also to protect the human homeland, for the better survival and development of mankind, together with other justice warriors, to join hands against the fierce monsters. Under the desperate situation of the end, can Luo Feng and other warriors repel monsters and successfully protect the human world?</p>	1.648371e+09	https://api.tvmaze.com/episodes/1995405
4	2052512	https://www.tvmaze.com/episodes/2052512/wu-shen-zhu-zai-1x87-episode-87	Episode 87	1.0	87.0	regular	2020-12-27	10:00	2020-12-27T02:00:00+00:00	8.0	nan	54033	https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai	Wu Shen Zhu Zai	Animation	Chinese	['Action', 'Adventure', 'Anime', 'Fantasy']	Running	8.0	8.0	2020-03-08	nan	https://v.qq.com/detail/m/7q544xyrava3vxf.html	76.0	{'id': 104, 'name': 'Tencent QQ', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': 'https://v.qq.com/'}	nan	<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>	1.649423e+09	https://api.tvmaze.com/episodes/2007760
5	2012323	https://www.tvmaze.com/episodes/2012323/mans-diary-2x08-episode-8	Episode 8	2.0	8.0	regular	2020-12-27	nan	2020-12-27T04:00:00+00:00	12.0	nan	50398	https://www.tvmaze.com/shows/50398/mans-diary	Man's Diary	Animation	Chinese	['Anime', 'Supernatural']	Running	12.0	12.0	2019-07-21	nan	https://www.bilibili.com/bangumi/media/md4314622	3.0	{'id': 51, 'name': 'Bilibili', 'country': {'name': 'China', 'code': 'CN', 'timezone': 'Asia/Shanghai'}, 'officialSite': None}	nan	<p>In the twenty-first century, gods and demons can no longer maintain balance due to the rapid development of human society. In an effort to restore proper order, the gods began to take care of saving the world, for which they sent a group of gods and monsters to the world of people, who must find there the " key " to salvation. Su moting is a girl with the personality of "demon child". When her parents asked her to leave home so that she could become independent and independent, she met the beautiful and charming God of Tianjin and the mysterious demon cat. So begins a new turbulent round of su moting's life.</p><p><br /> </p>	1.611039e+09	https://api.tvmaze.com/episodes/1985789
6	2005757	https://www.tvmaze.com/episodes/2005757/legend-of-yun-qian-1x10-episode-10	Episode 10	1.0	10.0	regular	2020-12-27	nan	2020-12-27T04:00:00+00:00	4.0	nan	52898	https://www.tvmaze.com/shows/52898/legend-of-yun-qian	Legend of Yun Qian	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	4.0	4.0	2020-12-21	2020-12-31	nan	67.0	{'id': 445, 'name': 'CTI TV', 'country': {'name': 'Taiwan, Province of China', 'code': 'TW', 'timezone': 'Asia/Taipei'}, 'officialSite': None}	nan	<p>The disciples of the Lingchuan Sect have guarded the Fans of Heaven and Earth for nearly a century. Mu Yun and Hua Yue are the only disciples of the sect that are left. The stubborn and disobedient Hua Yue unintentionally discovers that the Fan of Heaven possesses the power to travel through time. To escape being forced to study and practice martial arts by Mu Yun, Hua Yue travels to the future to have fun. Hundreds of years in the future she meets Xiao Qian who looks exactly like her. Secrets come to the surface, and adventures take place.</p>	1.649956e+09	https://api.tvmaze.com/episodes/2039622
7	1974055	https://www.tvmaze.com/episodes/1974055/love-revolution-1x29-episode-29	Episode 29	1.0	29.0	regular	2020-12-27	17:00	2020-12-27T08:00:00+00:00	20.0	nan	49948	https://www.tvmaze.com/shows/49948/love-revolution	Love Revolution	Scripted	Korean	['Drama', 'Comedy', 'Romance']	Ended	20.0	20.0	2020-09-01	2020-12-27	https://tv.kakao.com/channel/3643849/cliplink/412069527?metaObjectType=Channel	34.0	{'id': 294, 'name': 'Kakao TV', 'country': {'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}, 'officialSite': 'https://tv.kakao.com/top'}	nan	<p>The story of the "unique romance" about teenagers navigating love, friendship, and the chaos of high school. The story will focus mainly on Gong Joo Young, a cute and lovable student who falls in love at first sight with the standoffish and popular Wang Ja Rim. Unwavering in his love for Wang Ja Rim, the confident and cheerful Gong Joo Young isn't shy about his feelings and is determined to win her heart no matter what. However, despite his gentle, sweet nature when it comes to love, Gong Joo Young is also a steadfast, loyal friend who shows off a tougher and more mature side when his friends need his help.</p>	1.609617e+09	https://api.tvmaze.com/episodes/2039623
8	1974056	https://www.tvmaze.com/episodes/1974056/love-revolution-1x30-episode-30	Episode 30	1.0	30.0	regular	2020-12-27	17:00	2020-12-27T08:00:00+00:00	20.0	nan	49948	https://www.tvmaze.com/shows/49948/love-revolution	Love Revolution	Scripted	Korean	['Drama', 'Comedy', 'Romance']	Ended	20.0	20.0	2020-09-01	2020-12-27	https://tv.kakao.com/channel/3643849/cliplink/412069527?metaObjectType=Channel	34.0	{'id': 294, 'name': 'Kakao TV', 'country': {'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}, 'officialSite': 'https://tv.kakao.com/top'}	nan	<p>The story of the "unique romance" about teenagers navigating love, friendship, and the chaos of high school. The story will focus mainly on Gong Joo Young, a cute and lovable student who falls in love at first sight with the standoffish and popular Wang Ja Rim. Unwavering in his love for Wang Ja Rim, the confident and cheerful Gong Joo Young isn't shy about his feelings and is determined to win her heart no matter what. However, despite his gentle, sweet nature when it comes to love, Gong Joo Young is also a steadfast, loyal friend who shows off a tougher and more mature side when his friends need his help.</p>	1.609617e+09	https://api.tvmaze.com/episodes/2324427
9	2015367	https://www.tvmaze.com/episodes/2015367/youtuber-class-1x01-episode-1	Episode 1	1.0	1.0	regular	2020-12-27	18:00	2020-12-27T09:00:00+00:00	11.0	nan	53094	https://www.tvmaze.com/shows/53094/youtuber-class	Youtuber Class	Scripted	Korean	['Drama', 'Romance']	Ended	11.0	13.0	2020-12-27	2021-01-17	https://m.tv.naver.com/whynottv/home	24.0	{'id': 30, 'name': 'Naver TVCast', 'country': {'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}, 'officialSite': 'https://tv.naver.com/'}	nan	nan	1.611508e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_webChannel	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
40	2267318	https://www.tvmaze.com/episodes/2267318/dekonstrukcia-s01-special-postdekonstrukcia-s-vladimirom-surdinym-film-interstellar	Постдеконструкция с Владимиром Сурдиным. Фильм "Интерстеллар"	1.0	NaN	significant_special	2020-12-27	nan	2020-12-27T12:00:00+00:00	30.0	nan	60246	https://www.tvmaze.com/shows/60246/dekonstrukcia	Деконструкция	Talk Show	Russian	[]	Running	60.0	60.0	2019-07-24	nan	https://pro-tv.info/projects/dekonstruktsiya/	1.0	{'id': 21, 'name': 'YouTube', 'country': None, 'officialSite': 'https://www.youtube.com'}	nan	<p>An educational online project of the Prodvizhenie TV channel and the Kino-Teatr.Ru website about how the past is depicted in real cinema and what place a work of art occupied in the context of its time. From classics to modern cinema, from epic films to TV series. The experts of "Deconstruction" - historians, reenactors, writers and journalists - will take each film apart and leave no stone unturned to find historical truth and fiction</p>	1.650054e+09	https://api.tvmaze.com/episodes/2008312
41	2318113	https://www.tvmaze.com/episodes/2318113/bride-of-beirut-2x57-episode-57	Episode 57	2.0	57.0	regular	2020-12-27	nan	2020-12-27T12:00:00+00:00	45.0	nan	61755	https://www.tvmaze.com/shows/61755/bride-of-beirut	Bride of Beirut	Scripted	Arabic	['Drama', 'Romance']	Running	45.0	NaN	2019-09-01	nan	https://shahid.mbc.net/en/series/Arous%20Beirut-season-1/season-376514-376515	6.0	{'id': 379, 'name': 'Shahid', 'country': None, 'officialSite': None}	nan	<p>Living with her aunt, kind-hearted Thourayya leads a simple life, but her world is upended when she crosses paths with the handsome and ambitious Fares.</p>	1.650909e+09	https://api.tvmaze.com/episodes/2015837
42	1990363	https://www.tvmaze.com/episodes/1990363/fantastico-48x52-edition-of-12272020	Edition of 12/27/2020	48.0	52.0	regular	2020-12-27	nan	2020-12-27T14:00:00+00:00	NaN	nan	36907	https://www.tvmaze.com/shows/36907/fantastico	Fantástico	News	Portuguese	[]	Running	NaN	NaN	1973-08-05	nan	http://g1.globo.com/fantastico/	12.0	{'id': 131, 'name': 'Globoplay', 'country': {'name': 'Brazil', 'code': 'BR', 'timezone': 'America/Noronha'}, 'officialSite': None}	nan	nan	1.625403e+09	https://api.tvmaze.com/episodes/1996819
43	2126228	https://www.tvmaze.com/episodes/2126228/this-week-in-tech-2020-12-27-the-best-of-twit-2020	The Best of TWiT 2020	2020.0	52.0	regular	2020-12-27	nan	2020-12-27T17:00:00+00:00	120.0	nan	17584	https://www.tvmaze.com/shows/17584/this-week-in-tech	This Week in Tech	News	English	[]	Running	120.0	120.0	2005-04-17	nan	https://twit.tv/shows/this-week-in-tech	27.0	{'id': 102, 'name': 'Twit', 'country': {'name': 'United States', 'code': 'US', 'timezone': 'America/New_York'}, 'officialSite': None}	nan	<p>Your first podcast of the week is the last word in tech. Join the top tech pundits in a roundtable discussion of the latest trends in high tech. Hosted by Leo Laporte and friends.</p>	1.648029e+09	https://api.tvmaze.com/episodes/2037724
44	2165932	https://www.tvmaze.com/episodes/2165932/off-topic-2020-12-27-let-me-buy-your-games-263	Let Me Buy Your Games! - #263	2020.0	49.0	regular	2020-12-27	nan	2020-12-27T17:00:00+00:00	120.0	nan	18752	https://www.tvmaze.com/shows/18752/off-topic	Off Topic	Talk Show	English	['Comedy']	Running	120.0	120.0	2015-12-06	nan	https://roosterteeth.com/series/off-topic-the-achievement-hunter-podcast	39.0	{'id': 32, 'name': 'Rooster Teeth', 'country': {'name': 'United States', 'code': 'US', 'timezone': 'America/New_York'}, 'officialSite': None}	nan	<p>The lads and lasses of Achievement Hunter congregate each week to discuss the important questions in life. Plus drink beer.</p>	1.631188e+09	https://api.tvmaze.com/episodes/2037725
45	1993462	https://www.tvmaze.com/episodes/1993462/idolish7-2x15-discover-the-future	DiSCOVER THE FUTURE	2.0	15.0	regular	2020-12-27	nan	2020-12-27T17:00:00+00:00	25.0	<p>Re:vale prepare to close out the inaugural concert. The IDOLiSH7 and Trigger shuffle units perform the opening act. While watching their juniors perform, Momo and Yuki look back on the past five years they've walked together. </p>	33463	https://www.tvmaze.com/shows/33463/idolish7	IDOLiSH7	Animation	Japanese	['Anime', 'Music']	Running	25.0	25.0	2017-11-02	nan	http://idolish7.com/aninana/	29.0	None	nan	<p>A group of aspiring idols gather at Takanashi Productions and are entrusted with the company's future. The seven men who have just met represent a variety of totally different personalities. However, they each have their own charm and possess unknown potential as idols. Forming a group, they take their first step together as <b>IDOLiSH7</b>. Their brilliantly shining dancing forms onstage eventually begin captivating the hearts of the people. In the glorious but sometimes harsh world of idols, they aim for the top with dreams in their hearts!</p>	1.628688e+09	https://api.tvmaze.com/episodes/1988424
46	1975189	https://www.tvmaze.com/episodes/1975189/fancy-nancy-2x37-new-years-nancy	New Year's Nancy	2.0	37.0	regular	2020-12-27	12:00	2020-12-27T17:00:00+00:00	15.0	<p>Nancy wants to stay up until midnight on New Year's Eve but finds that staying awake is harder than she thought.</p>	34940	https://www.tvmaze.com/shows/34940/fancy-nancy	Fancy Nancy	Animation	English	['Comedy', 'Adventure', 'Children']	Running	15.0	15.0	2018-07-13	nan	https://disneynow.com/shows/fancy-nancy	59.0	{'id': 83, 'name': 'DisneyNOW', 'country': {'name': 'United States', 'code': 'US', 'timezone': 'America/New_York'}, 'officialSite': None}	nan	<p><b>Fancy Nancy</b> centers around six-year-old Nancy, a girl who likes to be fancy in everything from her advanced vocabulary to her creative, elaborate attire. Excited to experience what the magnificent world has to offer, Nancy uses her ingenuity and imagination as she learns that while life doesn't always go as planned, it's important to celebrate the differences that make everyone unique.</p>	1.634948e+09	https://api.tvmaze.com/episodes/1993940
47	1981602	https://www.tvmaze.com/episodes/1981602/peytons-places-2x05-terrell-owens	Terrell Owens	2.0	5.0	regular	2020-12-27	nan	2020-12-27T17:00:00+00:00	30.0	nan	43207	https://www.tvmaze.com/shows/43207/peytons-places	Peyton's Places	Documentary	English	['History', 'Sports']	Running	30.0	29.0	2019-07-29	nan	http://www.espn.com/watch/series/2043dd20-9cc0-4abe-b652-c8e7dfdfefa0/peyton-s-places	41.0	{'id': 265, 'name': 'ESPN+', 'country': {'name': 'United States', 'code': 'US', 'timezone': 'America/New_York'}, 'officialSite': None}	nan	<p><b>Peyton's Places</b> offers a fun, insightful tour through 100 years of football, following the sport and the league's rise to an American cultural touchstone. For nearly a year, Manning has crisscrossed the country, visiting the people and places that have played an important part in the making of the NFL—highlighting memorable events, teams, players, and trends over the past century.</p>	1.647692e+09	https://api.tvmaze.com/episodes/2037532
48	1975190	https://www.tvmaze.com/episodes/1975190/fancy-nancy-2x38-nancys-gift-to-grandpa	Nancy's Gift to Grandpa	2.0	38.0	regular	2020-12-27	12:15	2020-12-27T17:15:00+00:00	15.0	<p>To cheer up Grandpa on a wintry day, Nancy draws a masterpiece in chalk on the driveway.</p>	34940	https://www.tvmaze.com/shows/34940/fancy-nancy	Fancy Nancy	Animation	English	['Comedy', 'Adventure', 'Children']	Running	15.0	15.0	2018-07-13	nan	https://disneynow.com/shows/fancy-nancy	59.0	{'id': 83, 'name': 'DisneyNOW', 'country': {'name': 'United States', 'code': 'US', 'timezone': 'America/New_York'}, 'officialSite': None}	nan	<p><b>Fancy Nancy</b> centers around six-year-old Nancy, a girl who likes to be fancy in everything from her advanced vocabulary to her creative, elaborate attire. Excited to experience what the magnificent world has to offer, Nancy uses her ingenuity and imagination as she learns that while life doesn't always go as planned, it's important to celebrate the differences that make everyone unique.</p>	1.634948e+09	https://api.tvmaze.com/episodes/2068252
49	2234691	https://www.tvmaze.com/episodes/2234691/one-mo-chance-1x11-one-mo-finale	One Mo' Finale	1.0	11.0	regular	2020-12-27	20:00	2020-12-28T01:00:00+00:00	50.0	<p>Weeks of laughter, fighting and love have finally led to this. Will Yodela receive "One Mo' Chance", or will it be Yummy?</p>	59398	https://www.tvmaze.com/shows/59398/one-mo-chance	One Mo' Chance	Reality	English	[]	Running	NaN	47.0	2020-10-11	nan	https://www.thezeusnetwork.com/one-mo-chance	57.0	{'id': 331, 'name': 'Zeus', 'country': {'name': 'United States', 'code': 'US', 'timezone': 'America/New_York'}, 'officialSite': None}	nan	<p>From the breakdown of his relationship with the mother of his children, to the death of his brother and partner Real," the last few years have been personally tough for Kamal Chance Givens. However, the original Stallionaire is now ready to get back on his horse to give love another shot. During Chance return to reality television we'll watch as he goes it alone to find the true love of his life in this new dating competition series.</p>	1.649331e+09	https://api.tvmaze.com/episodes/1996820

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